ラズベリーパイ内でアプリケーションを動かしてみる

$ sudo apt-get update
$ sudo apt-get upgrade

$ sudo apt-get dist-upgrade

$ sudo rpi-update

$ sudo passwd root

$ sudo adduser [ユーザー名]

$ sudo gpasswd -a [ユーザー名] sudo

$ sudo ufw allow 22
$ sudo ufw allow 80
$ sudo ufw reload

$ sudo ufw enable

$ sudo ufw status

$ sudo mousepad /etc/ssh/sshd_config

$ ip a

1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
    inet6 ::1/128 scope host
       valid_lft forever preferred_lft forever
2: eth0: <NO-CARRIER,BROADCAST,MULTICAST,UP> mtu 1500 qdisc mq state DOWN group default qlen 1000
    link/ether dc:a6:32:a2:d9:96 brd ff:ff:ff:ff:ff:ff
3: wlan0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP group default qlen 1000
    link/ether dc:a6:32:a2:d9:97 brd ff:ff:ff:ff:ff:ff
    inet XXX.XXX.XX.X/24 brd XXX.XXX.XX.255 scope global dynamic noprefixroute wlan0
       valid_lft 78172sec preferred_lft 67372sec
    inet6 2400:2412:243:df00:938:3afd:486e:5b10/64 scope global dynamic mngtmpaddr noprefixroute
       valid_lft 86386sec preferred_lft 14386sec
    inet6 fe80::44e6:cb59:ac2f:409c/64 scope link
       valid_lft forever preferred_lft forever

ssh <USERNAME>@XXX.XXX.XX.X -o "ServerAliveInterval 15"

$ sudo apt install python3-pip

$ pip3 install pandas

$ python3 scripts/test.py

Traceback (most recent call last):
  File "scripts/test.py", line 2, in <module>
    import pandas as pd
  File "/usr/local/lib/python3.7/dist-packages/pandas/__init__.py", line 17, in <module>
    "Unable to import required dependencies:\n" + "\n".join(missing_dependencies)
ImportError: Unable to import required dependencies:
numpy:

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.7 from "/usr/bin/python3"
  * The NumPy version is: "1.19.4"S

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: libf77blas.so.3: cannot open shared object file: No such file or directory

$ sudo apt-get install libatlas-base-dev

import requests
import pandas as pd
from bs4 import BeautifulSoup
import re
import numpy as np
import urllib.request, urllib.error
import time

################################################################

df_monitering = pd.read_table("/home/USERNAME/scripts/monitering_data.txt", sep=" ")
ticker_list = []
ticker_list = df_monitering['Ticker'].tolist()

################################################################

## 銘柄毎に見ていく
index_count = 0

df_dict = df_monitering.to_dict(orient='duct')

flag_buy_message = 0
flag_sell_message = 0

for ticker_item in ticker_list:
    time.sleep(2)
    
    #######   各変数を取ってくる   ######
    base_url = "https://finviz.com/quote.ashx?t="
    url = base_url + ticker_item
    user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.66 Safari/537.36'
    headers = {'User-Agent': user_agent}

    request = urllib.request.Request(
        url=url,
        headers=headers
    )

    soup = BeautifulSoup(requests.get(url, headers = headers).content, 'html.parser')
    
    ret_table = soup.find('table', {'class':'snapshot-table2'})
    ret_td = ret_table.select('td')
    
    if df_dict["BuyorSell"][index_count] == "buy":
        rsi_flag = 0
        sam50_flag = 0
        sam200_flag = 0
        opermargin_flag = 0

        for td_elem in ret_td:    
            try:
                if rsi_flag == 1:
                    rsi = float(td_elem.get_text())
                    rsi_flag = 0
            except:
                rsi = 999

            if td_elem.get_text() == "RSI (14)":
                rsi_flag = 1

    if df_dict["BuyorSell"][index_count] == "sell":
        rsi_flag = 0
        
        for td_elem in ret_td:
            try:
                if rsi_flag == 1:
                    rsi = float(td_elem.get_text())
                    rsi_flag = 0
            except:
                rsi = -1

            if td_elem.get_text() == "RSI (14)":
                rsi_flag = 1
                
    ###### 値が売りもしくは買いのタイミングの値を満たしていれば発砲する ######
    if df_dict["BuyorSell"][index_count] == "buy":
        print("test")
        if rsi <= df_dict["RSI"][index_count]:
            
            file = {"imageFile":open('/home/USERNAME/scripts/image_data/eva_monica_rain.png','rb')}
            message_buy1 = ("この銘柄が買い時ですわ : " + ticker_item + \
                      "\n監視パラメータは以下ですわ\nRSI : " + str(df_dict["RSI"][index_count]) + \
                       "\n現在の実データは以下ですわ\nRSI : " + str(rsi)\
                      )
            url = "https://notify-api.line.me/api/notify"
            token = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
            headers = {'Authorization': f'Bearer {token}'}
            
            param_buy1 = {"message": message_buy1}
            if flag_buy_message == 0:
                message_buy0 = "買い時銘柄がありますわ"
                param_buy0 = {"message": message_buy0}
                requests.post(url ,headers = headers, files=file)
                requests.post(url ,headers = headers, params=param_buy0)
                flag_buy_message = 1
                
            requests.post(url ,headers = headers, params=param_buy1)
            
    if df_dict["BuyorSell"][index_count] == "sell":
        print(df_dict["RSI"][index_count])
        if rsi >= df_dict["RSI"][index_count]:
            file = {"imageFile":open('/home/USERNAME/scripts/image_data/eva_monica_rain.png','rb')}
            message_sell1 = ("この銘柄が売り時ですわ : " + ticker_item + \
                      "\n監視パラメータは以下ですわ\nRSI : " + str(df_dict["RSI"][index_count]) + \
                       "\n現在の実データは以下ですわ\nRSI : " + str(rsi)\
                      )
            url = "https://notify-api.line.me/api/notify"
            token = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
            headers = {'Authorization': f'Bearer {token}'}
            
            param_sell1 = {"message": message_sell1}
            if flag_sell_message == 0:
                message_sell0 = "売り時銘柄がありますわ"
                param_sell0 = {"message": message_sell0}
                requests.post(url ,headers = headers, files=file)
                requests.post(url ,headers = headers, params=param_sell0)
                flag_sell_message = 1
            
            requests.post(url ,headers = headers, params=param_sell1)

    index_count = index_count + 1

Ticker RSI BuyorSell
AAPL 65.0 sell
TSLA 60.0 sell

$ crontab -e

00 21 * * * python3 /home/USERNAME/scripts/test.py